Top non-human identity (NHI) governance and security tools in 2026

Non-human identities (NHIs) have become one of the fastest-growing attack surfaces in modern enterprises. Service accounts, API keys, OAuth tokens, workload identities, certificates, and AI agents now access critical systems and data with little to no human intervention.

Industry estimates suggest machine identities can outnumber human users by as much as 80:1, creating significant challenges around visibility, ownership, governance, and risk management. As organizations expand cloud adoption, automation, CI/CD pipelines, and AI initiatives, securing and governing non-human identities has become a top priority for security, identity, and platform teams.

Most of these identities were never assigned an owner, expiration policy, or review cycle. As a result, non-human identity (NHI) governance has emerged as a distinct discipline that extends beyond traditional secrets management. The OWASP Non-Human Identities Top 10  highlights key risks, including improper offboarding, long-lived secrets, overprivileged accounts, and insufficient ownership accountability.

In this guide, we compare the leading non-human identity governance and security platforms in 2026, examining their strengths, ideal use cases, key capabilities, and differentiators to help security teams evaluate the right solution for their environment.

This guide compares the leading non-human identity governance and security platforms in 2026, including their strengths, ideal use cases, and key differentiators.

TL;DR: Quick recommendations

What is a non-human identity?

A non-human identity (NHI) is a digital identity used by applications, workloads, services, automation platforms, and AI agents to access systems and resources. Unlike human users, non-human identities operate programmatically and often exist at far greater scale.

Common examples of non-human identities

• Service accounts
• API keys
• OAuth tokens
• Cloud workload identities
• Kubernetes service accounts
• CI/CD pipeline identities
• Certificates
• Robotic Process Automation (RPA) bots
• SaaS integrations
• AI agents
• MCP-connected agents

In many organizations, non-human identities now represent the majority of all identities operating across cloud, SaaS, and on-premises environments.

Understanding non-human identity (NHI) governance in 2026

Where NHI governance stands today

Every service account, API key, certificate, workload identity, and AI agent authenticates and acts, frequently with no manager assigned and no trigger to shut it down when no longer needed. Modern platforms must answer:

• Ownership: Who actually owns this service account, and what happens when that owner leaves?
• Lifecycle: Is this credential still active, or has it simply never been rotated or retired?
• AI Agents & MCP: What tools and data can this AI agent reach right now, and was its scope explicitly authorized?
• Governance: Are we actively governing this identity throughout its lifecycle, or relying on reactive log checks?

Secrets management vs. PAM vs. NHI governance

Understanding where each tool fits in the security stack is critical for architecture decisions:

Key evaluation criteria: What to look for in an NHI platform

1. Continuous & Universal Inventory: Discovery across multi-cloud, SaaS, CI/CD, on-prem, and AI agent frameworks rather than single-silo scanning.
2. Automated Ownership Resolution: Inferring accountable human owners using CMDB data, activity history, and behavioral signals instead of manual spreadsheets.
3. Full Lifecycle Automation: Standardizing automated provisioning, certification, credential rotation, and eventual decommissioning.
4. Native AI Agent & MCP Server Coverage: Treating AI agents and Model Context Protocol (MCP) servers as first-class identities with dynamic permissions.
5. Posture & Usage-Based Least Privilege: Trimming unnecessary privileges based on actual runtime activity rather than static initial entitlements.
6. Time-to-Value & Deployment Friction: Rapid API-based integration measured in hours or days without heavy professional services dependencies.

Traditional NHI tooling vs. modern NHI governance

Many organizations still approach non-human identities as a credential management problem. While protecting secrets, certificates, and tokens remains critical, modern NHI programs must also address visibility, ownership, governance, accountability, and usage across every non-human identity.

Traditional NHI security

Traditional approaches focus on protecting credentials, rotating secrets, and managing machine authentication. These capabilities remain essential but often provide limited visibility into ownership, usage, and governance.

Modern NHI governance

Modern NHI programs focus on discovering identities, assigning ownership, understanding access, monitoring activity, and continuously reducing risk. The objective is not only securing credentials, but also governing how non-human identities interact with enterprise systems and data.

Detailed vendor reviews: Top 5 NHI platforms

1. Oleria: Unified governance across human, non-human, and AI identities

• Platform Type: Unified Identity Governance & Administration (IGA) Platform
• Overview: Oleria governs employees, service accounts, API keys, cloud workloads, and AI agents inside a single identity graph. It uses real usage data to continuously evaluate access validity rather than relying solely on static granted entitlements.
• Key Capabilities & Strengths:
  
  • Unified identity graph spanning human, non-human, and AI agent identities in one platform.
  • Usage-grounded governance that identifies overprivileged, unused, or orphaned access automatically.
  • Fast deployment measured in hours, eliminating multi-quarter rollout friction.
  • Production-proven performance in complex, highly regulated enterprise environments.
• Considerations: Younger than legacy PAM incumbents, though engineered specifically for modern cloud and AI scale.
• Best For: Organizations seeking a single governance model across all human, machine, and AI identities.

2. Astrix Security: Real-time inventory & lifecycle control for AI agents & SaaS integrations

• Platform Type: SaaS, OAuth, and Agent Control Plane Specialist
• Overview: Astrix Security focuses on discovering and governing AI agents, MCP servers, OAuth-connected third-party applications, and SaaS-to-SaaS integrations in real time.
• Key Capabilities & Strengths:
  
  • Deep visibility into shadow AI agents, MCP servers, and third-party integrations.
  • Full lifecycle management from provisioning to decommissioning via its dedicated Agent Control Plane.
  • Behavioral analysis to detect anomalous usage patterns and risky access paths before incidents occur.
• Considerations: Provides dedicated lifecycle control via its Agent Control Plane; organizations with broader infrastructure secrets requirements may pair it with a complementary vault.
• Best For: Organizations with large SaaS environments and growing deployments of OAuth-connected tools and AI agents.

3. Oasis Security: Dedicated lifecycle management across multi-platform environments

• Platform Type: Dedicated NHI Lifecycle & Ownership Governance Layer
• Overview: Oasis Security provides continuous discovery, automated ownership mapping, and lifecycle management for machine identities across cloud, SaaS, CI/CD, and AI ecosystems.
• Key Capabilities & Strengths:
  
  • Automated ownership resolution that pairs every non-human identity with a responsible human owner.
  • Comprehensive AI agent and MCP coverage across AWS, Azure, GitHub, Copilot, ChatGPT, and custom agent setups.
  • Automated lifecycle workflows for credential rotation, attestation, and decommissioning.
• Considerations: Provides broad multi-platform lifecycle governance across cloud, SaaS, CI/CD, and AI ecosystems, running alongside existing secrets management tools.
• Best For: Enterprises wanting a tool-agnostic NHI lifecycle management layer across hybrid infrastructure and CI/CD pipelines.

4. Token Security: Machine-first governance & intent-based control for AI agents

• Platform Type: AI Agent & Machine Identity Security Platform
• Overview: Token Security delivers machine-first identity governance with a strong focus on AI agent visibility, secrets exposure mitigation, and behavior-driven permissioning.
• Key Capabilities & Strengths:
  
  • Core "AI Agent Ownership & Accountability" framework to ensure explicit human responsibility.
  • End-to-end creation-to-retirement lifecycle automation for machine identities and agents.
  • Intent-based permissioning that dynamically scopes access to what an agent is actively performing.
• Considerations: Delivers robust agent ownership and lifecycle automation, designed specifically for machine-first and AI-driven identity governance.
• Best For: Fast-moving teams deploying AI agents and copilots that require intent-bound, dynamic access control.

5. Clutch Security: Zero Trust infrastructure with ephemeral credentials & agent discovery

• Platform Type: Zero Trust Machine Identity & Ephemeral Credential Platform
• Overview: Clutch Security enforces Zero Trust policies by replacing standing credentials with short-lived, ephemeral tokens across cloud, SaaS, and AI workloads.
• Key Capabilities & Strengths:
  
  • Replaces standing long-lived machine credentials with ephemeral, dynamic access tokens.
  • Explicit agent discovery across 30+ native integrations, including Claude, OpenAI, and Anthropic agents, alongside MCP support.
  • Centralized risk prioritization and governance enforcement designed for compliance-heavy environments.
• Considerations: Offers explicit agent discovery across 30+ native integrations, focusing on Zero Trust credential issuance alongside risk governance.
• Best For: Security-first enterprises seeking to enforce Zero Trust principles and eliminate standing credentials.

Comprehensive vendor feature comparison

Scenario-based decision framework: How to pick the right tool

• Scenario 1: You want a single governance platform across workforce employees, service accounts, and AI agents.
• Choose Oleria. It unifies every identity inside one identity graph with usage-grounded access reviews and rapid deployment.

• Scenario 2: You have a large SaaS footprint with sprawling OAuth tools, MCP servers, and shadow AI integrations.
• Choose Astrix Security. Its real-time inventory and Agent Control Plane specialize in governing SaaS-to-SaaS connections.

• Scenario 3: You need a dedicated, tool-agnostic lifecycle layer across AWS, Azure, GitHub, and AI agents without replacing your existing vault.
• Choose Oasis Security. It excels at resolving ownership and automating rotation and retirement across hybrid infrastructure.

• Scenario 4: You are heavily deploying AI copilots and agents that require permissions scoped dynamically to specific tasks.
• Choose Token Security. Its intent-based permissioning and core agent ownership model prevent privilege escalation.

• Scenario 5: Your enterprise compliance mandate requires eliminating standing credentials altogether.
• Choose Clutch Security. Its zero trust architecture replaces long-lived keys with short-lived ephemeral tokens across 30+ agent and cloud integrations.

Where Oleria fits

Many organizations already operate multiple identity and security tools, including secrets vaults, PAM solutions, cloud IAM platforms, and SaaS security products. The challenge is creating a unified governance model across all identities.

Oleria approaches this challenge through a single identity graph that connects human identities, non-human identities, and AI agents. By combining access permissions with observed activity, organizations gain the context required to identify unnecessary access, orphaned identities, and governance gaps.

Key advantages

• Unified Identity Governance: Govern workforce, machine, and AI identities from a single platform.
• Usage-Based Intelligence: Evaluate actual access usage rather than relying solely on granted permissions.
• Rapid Time-to-Value: Deploy through API-based integrations without lengthy implementation cycles.
• Continuous Risk Reduction: Identify overprivileged access, orphaned accounts, and inactive identities.
• Audit Readiness: Improve visibility and accountability across identity ecosystems before audits occur.

Best for

Organizations looking to govern human identities, non-human identities, and AI agents through a unified identity governance strategy rather than managing separate governance processes for each identity type.

Why NHI governance matters in 2026

Traditional identity security programs were built around human users. Today's environments include millions of machine credentials, cloud workloads, applications, and AI agents operating independently.

Without governance, organizations face several common risks:

• Ownerless service accounts that persist indefinitely
• Excessive permissions granted to applications and workloads
• Stale API keys and secrets that are never retired
• Limited visibility into AI agent activities
• Difficulty meeting audit and compliance requirements
• Increased attack surface from unmanaged machine identities

Modern NHI governance platforms address these challenges through continuous discovery, ownership attribution, lifecycle management, and usage-based access controls.

Frequently asked questions (FAQ)

What is Non-Human Identity (NHI) Governance?
NHI Governance is the practice of discovering, assigning ownership to, and managing the lifecycle of machine credentials (such as service accounts, API keys, OAuth tokens, certificates, and AI agents), holding them to the same accountability standards as human users.

Why do non-human identities outnumber human users?
Every application, microservice, CI/CD pipeline, and AI agent requires unique credentials to authenticate. Automation multiplies these identities exponentially faster than human headcount grows, leading to ratios as high as 80:1.

How does NHI Governance differ from Secrets Management?
Secrets managers vault and rotate credentials. NHI Governance handles the underlying identity's lifecycle, including ownership attribution, usage analysis, access reviews, least-privilege enforcement, and eventual deprovisioning.

Can an NHI Governance platform replace our existing secrets vault or PAM tool?
Most organizations run them together. NHI Governance provides the overarching visibility, ownership, and lifecycle logic, while vaults and PAM systems handle credential storage and privileged session controls.

How fast can an NHI Governance platform be deployed?
Modern API-first platforms provide initial inventory and risk visibility within hours or days, with complete lifecycle policies built out over subsequent weeks.